Application of machine learning in identifying risk factors for low APGAR scores.

Journal: BMC pregnancy and childbirth
PMID: 40340577

Abstract

BACKGROUND: Identifying the risk factors for low APGAR scores at birth is critical for improving neonatal outcomes and guiding clinical interventions.

Authors

  • Haifa Fahad Alhasson
    Department of Information Technology, College of Computer, Qassim University, Buraydah 52571, Saudi Arabia. hhson@qu.edu.sa.
  • Nagat Elhag
    Wad Medani College of Medical Sciences and Technology, Wad Medani, Sudan.
  • Shuaa Saleem Alharbi
    Department of Information Technology, College of Computer, Qassim University, Buraydah 52571, Saudi Arabia.
  • Ishag Adam
    Department of Obstetrics and Gynecology, College of Medicine, Qassim University, Buraydah 52571, Saudi Arabia.

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